Senior Data Engineer (DataIKU)

Location:

Experience:

Employment Type:

Work Mode:

About the Role:

Dataiku's capabilities

Key Responsibilities:

• Design and Develop Data Pipelines

  : Build, manage, and optimize scalable data pipelines using

  Dataiku

  for data ingestion, transformation, and delivery.

• Leverage Dataiku Features

  : Utilize the full capabilities of Dataiku, including flow design, visual and code recipes, scenarios, metrics, and plugins to support end-to-end data solutions.

• Workflow Automation

  : Develop and automate workflows and repeatable processes to support analytics and machine learning use cases.

• ETL/ELT Development

  : Design and build ETL/ELT pipelines using

  Dataiku

  ,

  SQL

  ,

  Python

  , and related technologies.

• Model Integration Support

  : Collaborate with data science teams to integrate and deploy models as part of the Dataiku flows.

• Data Governance & Quality

  : Ensure high data quality, consistency, lineage, and compliance with data governance policies.

• Performance Optimization

  : Monitor, troubleshoot, and tune data workflows for performance and scalability.

• Documentation & Best Practices

  : Maintain clear documentation of workflows, design decisions, and engineering standards within Dataiku projects.

Required Skills and Qualifications:

• 5–7 years of experience

  as a Data Engineer with strong hands-on expertise in

  Dataiku

  .
• Proven ability to build complex data workflows and solutions using visual and code-based components in Dataiku.
• Strong proficiency in

  SQL

  and

  Python

  for data processing, cleaning, and transformation.
• Familiarity with

  cloud environments

  (AWS, Azure, or GCP) and experience integrating cloud-based data sources with Dataiku.
• Deep understanding of data modeling, ETL/ELT concepts, and pipeline orchestration.
• Experience working with large-scale datasets and building high-performance data solutions.
• Knowledge of

  Git

  or other version control tools.

Nice to Have:

• Exposure to

  MLOps

  practices and integrating machine learning workflows in Dataiku.
• Experience with

  Airflow

  ,

  Docker

  , or other orchestration/container tools.
• Familiarity with

  data warehouse platforms

  like Snowflake, BigQuery, or Redshift.
• Knowledge of

  data governance

  tools or frameworks.
• Dataiku certifications or experience in enterprise-grade Dataiku implementations.

Apply now at tisha.goyal@rsquaresoft.com